Multiple Descent in the Multiple Random Feature Model

21 August 2022

Papers citing "Multiple Descent in the Multiple Random Feature Model"

8 / 8 papers shown

Title
Gradient Descent Robustly Learns the Intrinsic Dimension of Data in Training Convolutional Neural Networks Chenyang Zhang Peifeng Gao Difan Zou Yuan Cao OOD MLT 59 0 0 11 Apr 2025
Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data Xuran Meng Difan Zou Yuan Cao MLT 29 7 0 03 Oct 2023
DSD $^2$ : Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? Victor Quétu Enzo Tartaglione 24 7 0 02 Mar 2023
Can we avoid Double Descent in Deep Neural Networks? Victor Quétu Enzo Tartaglione AI4CE 20 3 0 26 Feb 2023
Precise Learning Curves and Higher-Order Scaling Limits for Dot Product Kernel Regression Lechao Xiao Hong Hu Theodor Misiakiewicz Yue M. Lu Jeffrey Pennington 62 18 0 30 May 2022
Mitigating multiple descents: A model-agnostic framework for risk monotonization Pratik V. Patil Arun K. Kuchibhotla Yuting Wei Alessandro Rinaldo 32 8 0 25 May 2022
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains Ziqi Liu Wei Cai Zhi-Qin John Xu AI4CE 211 122 0 22 Jul 2020
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 93 152 0 02 Mar 2020